A practical scorecard for AI coding tools

Three teams have asked me in the last quarter "which AI coding tool should we standardize on?" Each time my answer started with: don't standardize, because the tools are differently good at different things. But if you're going to evaluate, here's the rubric I'd use.

The dimensions that matter#

1. Context window utilization. Not "what's the max" — what's the effective window. Tools differ in how aggressively they prune what they send to the model. Claude Code is generous, Cursor is moderate, Copilot is thrifty. For complex tasks the generous side wins; for autocomplete the thrifty side wins.

2. Multi-file edit fidelity. When you ask for a change spanning 8 files, do you get coherent edits or a scatter? Most tools still struggle here. Aider and Claude Code lead; Cursor's Composer is competitive; Continue lags.

3. Test feedback loop. Can the tool run tests, see the output, and iterate? Or does it just write and stop?

4. Diff review experience. Multi-file changes need a good diff UX. Cursor's review pane is excellent. Aider's commit-per-change is excellent for different reasons. Most others fall short.

5. Cost transparency. Per-PR cost, daily cost, by-model cost. Some tools surface this; most don't. Matters at team scale.

6. Privacy posture. What does the tool send where? When? With which retention?

The dimensions that don't (much)#

A few things that get a lot of pixels but aren't the deciding factor:

Autocomplete latency. Once it's under ~300ms it stops mattering. All current tools clear that bar.
Number of supported models. You'll probably use 1–2 in practice.
Voice mode. Cool, niche, not a deciding factor.
The "agent" branding. All major tools have an agent mode now. The question is how good, not whether.

A scorecard#

Here's how I'd score the major tools as of mid-2026, on a 0-5 scale:

Total scorecard (out of 30)

Cursor22
Claude Code24
Aider21
Continue18
Copilot16
Zed AI17

	Cursor	Claude Code	Aider	Continue	Copilot
Multi-file edits	4	5	5	3	3
Agent mode	4	5	4	3	3
Test loop	3	5	4	3	2
Diff review	5	4	4	3	3
Speed (autocomplete)	4	3	3	4	5
Cost transparency	2	2	4	3	1

Caveats: this is one engineer's snapshot. The relative ordering will be different next quarter. The point is the axes and the format, not the exact numbers.

How to actually evaluate on your team#

Don't read reviews. Run a one-week pilot. Two engineers each on two tools. Measure:

Tasks completed per day that involved AI assistance.
Tasks completed per day without bugs that required followup.
Time-to-PR for a representative ticket (everyone does the same kind of ticket).
Engineer NPS at end of week ("would you keep using this?").

After a week you'll have a clear winner for your team's stack and codebase. The general "best AI tool" question doesn't have an answer. The "best for our backend Python services" question does.

What changes between teams#

A few patterns I've seen:

Frontend teams lean toward Cursor or Zed AI. The integrated diff + visual feedback fits component work.
Backend / infra teams lean toward Claude Code or Aider. The agent loop fits "fix this pipeline; here's the failure log."
Mixed-language polyglots lean toward Continue. The configurable model + portable config helps when you're switching between Rust, Python, and TypeScript in a day.
Tightly-regulated environments lean toward self-hosted Continue with a local model. Privacy posture trumps capability.

The license/policy axis#

Beyond technical fit, check:

Code retention. Does the tool train on your code? With or without opt-out? Both are still common.
License compatibility. If your org cares about copyleft contamination, check what the model was trained on.
Compliance. SOC 2? HIPAA-ready? Some teams need both checked before they can adopt.
Telemetry. What's collected, where it goes, retention period.

Most enterprise-tier offerings (Cursor for Business, Anthropic Claude Code's enterprise plan, GitHub Copilot Business) handle these. The free / personal tiers usually don't.

The 2-tool stack#

For most of my work, I run two tools simultaneously:

Cursor for the actual editing — chat, autocomplete, Composer for multi-file when in the editor.
Claude Code in a terminal pane for "run this multi-step task while I keep typing."

They don't conflict. They cost together less than $50/month for an individual. The combined workflow beats either alone.

For a team I'd similarly recommend a primary tool everyone has, plus a secondary people can opt into. Not "we standardize on X."

Re-eval every quarter#

The fastest-changing technical category I've ever followed. Every quarter brings a real shift somewhere. Re-run the pilot. The "obvious winner" of Q1 isn't the obvious winner of Q3.

If it sounds expensive: the cost of being on the wrong tool for six months is much higher than the cost of one engineer running a one-week pilot every quarter.